Alternatives and similar repositories for CS228_PGM

Users that are interested in CS228_PGM are comparing it to the libraries listed below

• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆146Updated last year
• tengyuma / cs229m_notes
  ☆238Updated 2 years ago
• MLaPP-Solution-Manual / Solutions-to-Machine-Learning-A-Probabilistic-Perspective-
  Solutions to "Machine Learning: A Probabilistic Perspective"
  ☆162Updated 4 years ago
• Mehooz / awesome-representation-learning
  The newest reading list for representation learning
  ☆116Updated 4 years ago
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆89Updated 6 years ago
• jingwenh / Computer-Vision-CMU-16720B
  ☆30Updated 6 years ago
• deepgenerativemodels / notes
  Course notes
  ☆731Updated last year
• leehanchung / cs182
  Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks
  ☆85Updated 2 years ago
• yataobian / awesome-ebm
  Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
  ☆350Updated 4 months ago
• 2wavetech / Probabilistic-Graphical-Model
  This repository contains my implementation of the programming assignments of Probabilistic Graphical Models delivered by Stanford Univers…
  ☆35Updated 8 years ago
• rishabhk108 / AdvancedOptML
  CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
  ☆181Updated 4 years ago
• zhengqigao / PRML-Solution-Manual
  My Own Solution Manual of PRML
  ☆998Updated 4 years ago
• rll / deepul
  ☆825Updated 7 months ago
• davidbau / how-to-read-pytorch
  Quick, visual, principled introduction to pytorch code through five colab notebooks.
  ☆447Updated 10 months ago
• xbresson / CS5242_2021
  Neural Networks and Deep Learning, NUS CS5242, 2021
  ☆191Updated 4 years ago
• niaohe / Convex-Optimization-Course
  Repository for my convex optimization course.
  ☆53Updated 4 years ago
• Subhajit135 / CS236_DGM
  🦍 Stanford CS236 : Deep Generative Models
  ☆155Updated 6 years ago
• amber-kshz / PRML
  Python implementations (on jupyter notebook) of algorithms described in the book "PRML"
  ☆258Updated 4 years ago
• yousuketakada / prml_errata
  More PRML Errata
  ☆81Updated 2 years ago
• acecreamu / ai-residency
  Example of a Cover letter for AI Residency
  ☆80Updated 5 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆278Updated 6 years ago
• PeterTheOne / slideslive-slides-dl
  slideslive slides downloading script
  ☆131Updated last month
• ivannz / mlss2019-bayesian-deep-learning
  MLSS2019 Tutorial on Bayesian Deep Learning
  ☆93Updated 5 years ago
• TheShadow29 / research-advice-list
  A compilation of research advice.
  ☆219Updated 4 years ago
• coallaoh / Principles
  ☆220Updated last year
• probml / probml-notebooks
  Notebooks for "Probabilistic Machine Learning" book
  ☆202Updated 3 years ago
• niaohe / Big-Data-Optimization-Course
  Repository for my Big Data Optimization course
  ☆35Updated 4 years ago
• fregu856 / papers
  I categorize, annotate and write comments for all research papers I read (500+ papers since 2018).
  ☆407Updated last month
• Zhenye-Na / machine-learning-uiuc
  🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign
  ☆284Updated 6 years ago
• Rhyme0730 / CS234-Reinforcement-Learning
  This repo mainly contains CS234 (Spring 2024) assignment's coding problems
  ☆47Updated 9 months ago